Spatial epidemiology of tuberculosis in the high-burden counties of Kisumu and Siaya, Western Kenya, 2012-2015.

BACKGROUND: Effective management of tuberculosis (TB) and reduction of TB incidence relies on knowledge of where, when and to what degree the disease is present. METHODS: In a retrospective cross-sectional study, we analysed the spatial distribution of notified TB incidence from 1 January 2012 and 31 December 2015 in Siaya and Kisumu Counties, Western Kenya. TB data were obtained from the Division of Leprosy, Tuberculosis and Lung Disease, Nairobi, Kenya, as part of an approved TB case detection study. Cases were linked to their corresponding geographic location using physical address identifiers. Spatial analysis techniques were used to examine the spatial and temporal patterns of TB. Assessment of spatial clustering was carried out following Moran's I method of spatial autocorrelation and the Getis-Ord Gi* statistic. RESULTS: The notified TB incidence varied from 638.0 to 121.4 per 100 000 at the small area level. Spatial analysis identified 16 distinct geographic regions with high TB incidence clustering (GiZScore 2.58, P < 0.01). There was a positive correlation between population density and TB incidence that was statistically significant (rs = 0.5739, P = 0.0001). CONCLUSION: The present study presents an opportunity for targeted interventions in the identified subepidemics to supplement measures aimed at the general population.

Lessons learned from community-based tuberculosis case-finding in western Kenya.

SETTING: Although Kenya has a high burden of tuberculosis (TB), only 46% of cases were diagnosed in 2016. OBJECTIVE: To identify strategies for increasing attendance at community-based mobile screening units. DESIGN: We analysed operational data from a cluster-randomised trial, which included community-based mobile screening implemented during February 2015-April 2016. Community health volunteers (CHVs) recruited individuals with symptoms from the community, who were offered testing for human immunodeficiency virus (HIV) and sputum collection for Xpert® MTB/RIF testing. We compared attendance across different mobile unit sites using Wilcoxon rank-sum test. RESULTS: A total of 1424 adults with symptoms were screened at 25 mobile unit sites. The median total attendance among sites was 54 (range 6-134, interquartile range [IQR] 24-84). The median yields of TB diagnoses and new HIV diagnoses were respectively 2.4% (range 0.0-16.7, IQR 0.0-5.3) and 2.5% (range 0.0-33.3, IQR 1.2-4.2). Attendance at urban sites was variable; attendance at rural sites where CHVs were paid a daily minimum wage was significantly higher than at rural sites where CHVs were paid a nominal monthly stipend (P < 0.001). CONCLUSION: Mobile units were most effective and efficient when implemented as a single event with community health workers who are paid a daily wage.

Attention deficit hyperactivity disorder symptom self-report in adults in Kenya and its associated risk factors, an analysis from a household survey in a demographic surveillance site.

BACKGROUND: There have been no household surveys of adult attention deficit and hyperactivity disorder (ADHD) in Kenya, and only one in sub-Saharan Africa. METHODS: Data on ADHD was used from a household survey of mental disorders and their associated risk factors conducted in Maseno area (population 70 805), near Lake Victoria in Kenya, using a demographic surveillance site as the sample frame, as part of a wider survey of mental health, malaria and immunity A total of 1190 households were selected, and 1158 adult participants consented to the study while 32 refused to participate in the study interviews, giving a response rate of 97.3%. ADHD symptoms were assessed with the WHO Adult ADHD Self-Report Scale (ASRS) Screener. RESULTS: This survey found that the overall prevalence of ADHD using the ASRS was 13.1%. This suggests a high level of ADHD in the Kenyan population which needs to be further investigated for its impact on adult mental health. In the adjusted analysis, increased odds ratios (ORs) were found in those with higher assets (OR 1.7, p = 0.023), those with life events (OR 2.4, p = 0.001 for those with 2-3 life events and OR 2.6, p < 0.001 for those with 4 or more life events), and those with common mental disorders (OR 2.3, p = 0.001). CONCLUSION: The study demonstrates the magnitude of ADHD symptoms as a public health issue, relevant for health worker training, and the importance of further research into its prevalence in adults and associated risk factors.